Researchers

Drafting research prose at scale

Literature reviews, grant sections, abstract revisions. Inksong rewrites AI-assisted research drafts back into your voice without touching the technical content.

Researchers draft a lot. Lit reviews, methods sections, grant narratives, conference abstracts, the third pass at an abstract because the wording still isn't right. Model-assisted drafting helps with the volume.

The catch is that volume of AI prose carries a volume of AI tells. The technical content is fine — terminology survives, claims stay accurate — but the prose stops sounding like a researcher wrote it. Inksong rewrites the sentences while leaving the science alone.

Scenarios

When Inksong helps

Literature review chunks

You generated structured summaries across thirty sources. The technical accuracy holds up. The prose is uniformly model-shaped. Batch them through at humanness 35 and the cadence varies again.

Grant prose

Specific aims, significance, broader impacts — long-form sections you've drafted with AI assistance. Reviewers notice voice; the academic domain preset keeps yours.

Abstract revision rounds

Same paper, fourth pass at the abstract. You want the wording tightened without it sounding like a different person wrote it each time. The professional tone holds the register steady.

Example

A before-and-after from this domain

AI-generated88% AI

It is important to note that recent advances in the field of CRISPR-Cas9 gene editing represent a transformative paradigm in molecular biology research. Furthermore, this technological breakthrough necessitates a comprehensive reevaluation of therapeutic frameworks. Additionally, the implications of base editing and prime editing extend beyond mere theoretical considerations into practical clinical applications across haematological, ophthalmological, and oncological domains.

Humanized by Inksong22% AI

CRISPR-Cas9 work has shifted what counts as a tractable problem in molecular biology, though the more recent base editing and prime editing variants are arguably the bigger near-term story for clinical use. The therapeutic implications are uneven by domain: haematological applications are furthest along, ophthalmology is close behind, and the oncology picture is more mixed than headlines suggest.

Recommended preset

What to use for researchers

Tone

professional

Domain

academic

Humanness

35

Lower humanness preserves technical precision and avoids over-rewriting in domains where the wording carries the meaning. Humanness 35 removes AI cadence without paraphrasing claims.

Features

Built for this workflow

FAQ

Questions from researchers users

Will technical terminology survive?
Yes. Humanisation rewrites sentence structure and cadence, not domain vocabulary. Terms like 'reverse transcription,' 'p-value,' or 'random effects model' pass through untouched.
Can I run this on 100 PDFs?
Yes — batch up to ten at a time in the UI, or queue more through the API. PDF inputs are converted to DOCX on the way out (no in-place PDF editing). Pro is 100 docs/month; Enterprise is 1,000.
What about reference lists?
Untouched. Inksong rewrites prose only — reference entries, citation markers, and bibliography sections are left exactly as you uploaded them.
Does it work with LaTeX?
Not natively yet. Today you'd strip to DOCX or TXT, humanise, then bring the result back into your LaTeX source. Native .tex support is on the roadmap.

Start humanizing today

5 documents free a month, no card needed. Three minutes to your first humanized doc.

  • 5 documents/month on the free tier
  • No credit card required
  • Cancel or upgrade anytime